When Every CV Is AI-Written

There was a time when a beautifully written CV told you something about the person who submitted it.

Not necessarily everything. But you could often spot the candidate who had taken care, understood the brief and knew how to articulate their experience.

That signal is disappearing.

AI has democratised the polished application. Candidates can now take a job description, feed it into a tool alongside their experience and produce a tailored, articulate and keyword-rich CV in minutes.

And we probably need to stop pretending this is unusual.

Research from Greenhouse suggests 78% of candidates across the UK, Ireland and Germany are already using AI to tailor CVs or job applications. Meanwhile, recent CV-Library research found 83% of recruiters are encountering signs of AI-written applications at least occasionally.

The problem isn't that candidates are “cheating”.

The problem is that many recruitment processes are still designed for a world where the application itself was a useful differentiator.

We created an AI arms race

Candidates suspect employers are using algorithms to screen them, so they use AI to optimise their applications.

Employers receive increasingly polished and similar applications, so they introduce more technology to filter them.

Candidates respond by optimising further.

And somehow, despite all this technology designed to make recruitment more efficient, finding the right person can feel harder.

CV-Library found 81% of recruiters believe CVs are becoming more standardised and less distinctive because of AI. Application volumes are rising too, with recruiters increasingly trying to distinguish genuine experience from perfectly presented applications.

So perhaps the answer isn't better AI detection.

Perhaps it's changing what we ask the CV to do.

Treat the CV as evidence, not proof

A CV should increasingly become the starting point of a conversation rather than the primary assessment.

Does this person broadly have the experience we're looking for?

Great.

Now test it.

Instead of asking someone to repeat their career history, interviewers should go deeper into specific moments.

What happened? What did you personally do? Why did you make that decision? What went wrong? What would you change?

AI can help somebody describe leadership brilliantly.

It is much harder to manufacture the messy, nuanced detail of actually having led.

Likewise, employers should consider introducing shorter, earlier human conversations rather than adding more layers of automated screening. Fifteen minutes with the right questions may tell you considerably more than another scoring algorithm analysing a perfectly optimised application.

Hire for what can't easily be generated

The irony is that AI may make the genuinely human parts of recruitment more valuable.

Judgement. Curiosity. Self-awareness. Communication. Problem solving. Values. The ability to explain ambiguity rather than produce a textbook answer.

Leaders should also stop penalising candidates simply for using AI well. In most professional roles, intelligently using technology is increasingly part of the job.

The question isn't:

“Did AI write this CV?”

The better question is:

“Can the person behind this CV actually do what it says?”

Because when every application looks excellent, the advantage won't come from screening harder.

It will come from assessing better.